Application of Audio Computer-Assisted Self-Interviews to Collect Self-Reported Health Data: An Overview

• Type of Material: Article
• Authors: Jennifer Brown, Emory University; Andrea Swartzendruber, Emory University; Ralph Joseph Diclemente, Emory University
• Language: English
• Date: 2013-01-01
• Publisher: Karger Publishers
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2013 S. Karger AG, Basel.
• Final Published Version (URL): http://dx.doi.org/10.1159/000351827
• Title of Journal or Parent Work: Caries Research
• ISSN: 0008-6568
• Volume: 47
• Issue: SUPPL. 1
• Start Page: 40
• End Page: 45
• Grant/Funding Information: Jennifer L. Brown was supported by K12 GM000680 from the National Institute of General Medical Sciences.
• Keywords: Self-report; Life Sciences & Biomedicine; RANDOMIZED TRIAL; Audio computer-assisted self-interviews; HIV; FEASIBILITY; ACASI; Review; SEXUAL-BEHAVIOR; INJECTING DRUG-USERS; FACE-TO-FACE; VALIDITY; RISK BEHAVIOR; Dentistry, Oral Surgery & Medicine; RELIABILITY; Science & Technology
• Research Categories: Biology, Biostatistics

Abstract

For assessment of sensitive health behaviors (e.g., sexual behavior, violent behaviors, substance use), research is typically limited to an examination of self-reports of past behavior. Audio computer-assisted self-interviews (ACASI) may enhance the validity of self-report data in research and clinical settings by reducing measurement bias. This paper provides an introduction to ACASI for collection of self-reported health data. The potential benefits and cost-effectiveness of ACASI use in research and clinical settings are reviewed. We then review the theoretical underpinnings that may underlie differential reporting of health behaviors between assessment modalities. Next, we highlight studies that have investigated differences in self-reported health behaviors between assessment modalities. Lastly, we summarize potential applications of ACASI assessments within clinical settings.